AI Research Scientist

Social network you want to login/join with:Are you an AI Research Scientist passionate about using LLMs and machine learning to reshape how organisations understand people?We’re looking for a curious and pragmatic AI Research Scientist to join a remote team building the next generation of AI-powered insight tools. You’ll be working on a real-world research platform already in production — now expanding into new territory with retrieval-augmented generation (RAG), vector search, and intelligent automation.In this role, you’ll help reimagine how unstructured and structured data from large-scale surveys and discussions can be turned into clear, actionable insight using advanced AI. From redesigning RAG stacks to building AI-powered report writers and secure vector stores, you’ll be solving rich, challenging problems at the intersection of NLP, data infrastructure, and human understanding.Whether you’ve shipped AI features before or have strong personal research and projects, this is a chance to shape products used by real researchers and clients every day.What’s in it for you??

Human-Centred AI : Build tools that help researchers analyse real human thoughts, opinions, and behaviours — at scale.?

LLM Research Meets Real Deployment : Prototype and productionise advanced AI features like conversational survey assistants, automated QandA, and thematic summarisation.?

RAG, Vector Search and Pipelines : Redesign and optimise RAG pipelines, create secure vector-based knowledge repositories, and build survey data transformation services.?

MLOps and Evaluation : Own testing, evaluation harnesses, prompt management, and observability for AI systems in production.?

Remote Flexibility : Work fully remotely with a team that values impact, collaboration, and continuous learning.What We’re Looking For:2–4 years of experience in machine learning, applied AI, or LLM researchStrong Python skills and experience with libraries like PyTorch, LangChain, or LlamaIndexExperience designing and building ML pipelines for structured and unstructured dataFamiliarity with SQL/NoSQL and data wranglingCuriosity about large language models and enthusiasm for solving real-world product challengesClear communication and ability to thrive in a distributed teamNice to Have:Experience with vector databases (e.g., FAISS, Weaviate, pgvector)Knowledge of survey data structures or market research workflowsFamiliarity with statistics (e.g., weighting, significance testing)Experience with Docker, Hugging Face Transformers, or cloud-based deploymentAwareness of data privacy standards in a European contextIf you''re excited to apply state-of-the-art AI to unlock meaning from messy human data — and want your research to be used by people who ask important questions — we’d love to hear from you.Apply now and help build the future of insight-driven ..... full job details .....